Determinants of Frequent Jail Admissions: Evidence From Two Counties

Although individuals incarcerated in jails make up around one third of the total incarcerated population, jail incarceration remains relatively understudied. Individuals frequently admitted to jail face complex challenges that increase the likelihood of their return. However, there is little research on the prevalence of jail readmissions and the role that extralegal factors play over and above legal indicators. Using 9 years of data from St. Louis County, Missouri ( N = 11,977), and Louisville, Kentucky ( N = 11,808), we estimate bivariate and negative binomial models to differentiate predictors of frequent jail readmissions. Findings demonstrate essential overlap between the sites where males had a greater likelihood of readmission than females, and prior admissions increased the likelihood of readmission. Despite these convergences, the sites diverge in terms of race and other criminal history characteristics as predictors of readmission. Our study emphasizes the importance of examining predictors of readmission across multiple locales.

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Publication Details

Journal
Criminal Justice and Behavior
Published
2026-06-08
DOI
https://doi.org/10.1177/00938548261449389
Primary Topic
Criminal Justice and Corrections Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Determinants of Frequent Jail Admissions: Evidence From Two Counties

Brian P. Schaefer, Lee Ann Slocum, Beth M. Huebner, Andrea Giuffre et al.
Criminal Justice and Behavior
Criminal Justice and Corrections Analysis
article

Determinants of Frequent Jail Admissions: Evidence From Two Counties

Brian P. Schaefer, Lee Ann Slocum, Beth M. Huebner, Andrea Giuffre, Heather M. Ouellette
article en

Abstract

Although individuals incarcerated in jails make up around one third of the total incarcerated population, jail incarceration remains relatively understudied. Individuals frequently admitted to jail face complex challenges that increase the likelihood of their return. However, there is little research on the prevalence of jail readmissions and the role that extralegal factors play over and above legal indicators. Using 9 years of data from St. Louis County, Missouri ( N = 11,977), and Louisville, Kentucky ( N = 11,808), we estimate bivariate and negative binomial models to differentiate predictors of frequent jail readmissions. Findings demonstrate essential overlap between the sites where males had a greater likelihood of readmission than females, and prior admissions increased the likelihood of readmission. Despite these convergences, the sites diverge in terms of race and other criminal history characteristics as predictors of readmission. Our study emphasizes the importance of examining predictors of readmission across multiple locales.

Criminal Justice and Behavior
University of Missouri–St. Louis (US), University of Louisville Hospital (US), California State University, San Bernardino (US), Arizona State University (US)
Gender equality
Openalex Percentile: Top 3%
Criminal Justice and Corrections Analysis
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